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AI Gateway

3 use cases using this technology

3published use cases
3industries
1countries on record
Agentic AI
top AI capability

Evidence mix: High 3 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

3 use cases

TelecommunicationsGenerative AIAgentic AIConversational AI

LG U+ Reduced LLM Vendor Dependency and Cut Costs 36% with Databricks Model Serving

LG U+, one of Korea's leading telecom carriers, migrated its U+one AI Search service to Databricks Model Serving to reduce dependence on a single external LLM vendor. Databricks hosts Gemini 2.5 Flash in a dedicated availability zone through a partnership with Google, letting LG U+ keep its existing LangChain interfaces and model while removing its direct reliance on Google's own infrastructure. The company also rebuilt its search architecture with an AI Gateway, Query Orchestration, a Semantic Elastic Cache, Hybrid Reasoning Retrieval, and Agentic Self-Correction Loops running within an LLMOps framework. In controlled tests, Gemini calls routed through Databricks showed 48% higher throughput, 22% faster average response times, and a 90% lower failure rate versus direct calls; in production, operating costs fell 36% and response speed improved 64% even as system complexity grew 107%. LG U+ is extending the same infrastructure to its ixi-O Voice AI services.

LG U+· South KoreaDatabricks Model Serving · LangChain · Gemini 2.5 Flash +3
ManufacturingPredictive AnalyticsMachine LearningAgentic AI

TK Elevator: Moving Beyond with Data + AI Driven Service Intelligence

TK Elevator (TKE), one of the world's largest providers of elevators, escalators and vertical transportation systems, adopted the Databricks Platform to unify and process more than 500 million IoT telemetry events daily from connected elevators across 30+ countries, moving from reactive to predictive maintenance. TKE's MAX platform generates predictive insights that feed actionable guidance to field technicians via its Digital Operations Center (DOC), which generates 30,000-40,000 tickets annually and has reduced technician troubleshooting time on call-backs and unplanned shutdowns by up to 20%. The platform scaled from 3 to over 40 markets (10x expansion), cut data pipeline delivery from months to weeks, and reduced data sharing time with internal/external consumers from three months to three days (90% reduction). TKE uses Delta Lake, Delta Sharing, Lakeflow, Unity Catalog, Databricks Assistant, MLflow, AI Gateway, Vector Search and Model Serving, and is exploring agentic AI to combine technical, service and commercial context in real time.

TK ElevatorDelta Lake · Delta Sharing · Lakeflow +6